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Changwei Hu
Changwei Hu
Yahoo Research
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Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization
B Ning, X Qu, D Guo, C Hu, Z Chen
Magnetic resonance imaging 31 (9), 1611-1622, 2013
792013
Combined sparsifying transforms for compressed sensing MRI
X Qu, X Cao, D Guo, C Hu, Z Chen
Electronics letters 46 (2), 121, 2010
732010
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data
C Hu, P Rai, C Chen, M Harding, L Carin
ECML-PKDD 2015 (Best Student Paper Award), 2015
452015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
P Rai, C Hu, R Henao, L Carin
NIPS 2015(Spotlight Presentation), 2015
422015
Scalable Probabilistic Tensor Factorization for Binary and Count Data
P Rai, C Hu, M Harding, L Carin
IJCAI, 2015
362015
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
C Hu, P Rai, L Carin
UAI 2015 (Plenary Oral Presentation ), 2015
332015
Compressed sensing MRI with combined sparsifying transforms and smoothed l0norm minimization
X Qu, X Cao, D Guo, C Hu, Z Chen
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
292010
Image fusion algorithm based on orientation information motivated pulse coupled neural networks
X Qu, C Hu, J Yan
2008 7th World Congress on Intelligent Control and Automation, 2437-2441, 2008
282008
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information
C Hu, P Rai, L Carin
AISTATS 2016, 2016
232016
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
T Tran, Y Hu, C Hu, K Yen, F Tan, K Lee, S Park
EMNLP 2020, 2020
182020
Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI
C Hu, X Qu, D Guo, L Bao, Z Chen
Magnetic Resonance Imaging 29 (7), 907-915, 2011
162011
Deep Generative Models for Relational Data with Side Information
C Hu, P Rai, L Carin
ICML, 2017
132017
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
B An, J Lyu, Z Wang, C Li, C Hu, F Tan, R Zhang, Y Hu, C Chen
EMNLP 2020, 2020
92020
Topic-Based Embeddings for Learning from Large Knowledge Graphs
C Hu, P Rai, L Carin
AISTATS 2016, 2016
92016
TNT: Text Normalization based Pre-training of Transformers for Content Moderation
F Tan, Y Hu, C Hu, K Li, K Yen
EMNLP 2020, 2020
82020
What’s in a Name? – Gender Classification of Names with Character Based Machine Learning Models
Y Hu, C Hu, T Tran, T Kasturi, E Joseph, M Gillingham
Data Mining and Knowledge Discovery, 2021
72021
Latent Gaussian models for topic modeling
C Hu, E Ryu, D Carlson, Y Wang, L Carin
Artificial Intelligence and Statistics, 393-401, 2014
72014
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
S Mishra*, C Hu*, M Verma, K Yen, Y Hu, M Sviridenko
CIKM (Queensland, Australia), 2021
42021
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
C Hu, Y Hu, S Seo
IEEE ICMLA 2019, 2019
32019
Computational Phenotyping via Scalable Bayesian Tensor Factorization
C Hu, R Henao, T Frank, S Bhardwaj, P Rai, L Carin
NIPS Workshop on Machine Learning in Healthcare, Montreal, Canada, 2015
32015
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